5-7 years of sales experience in technology and consulting services
Demonstrated success in acquiring new enterprise customers
Experience with outcome-based professional services, particularly in Financial Services
Proficient in managing the full sales lifecycle from prospecting to contract execution
Ability to thrive in fast-paced, quota-oriented environments
Established relationships with C-suite clients and strategic partners
Responsibilities
Identify and cultivate new and existing enterprise client relationships
Generate new business and secure enterprise logos
Drive cross-sell and up-sell opportunities across consulting and AI
Lead the complete sales process from prospecting to account management
Develop and implement differentiated sales strategies
Accurately forecast sales pipeline and revenue expectations
Maintain relationships with C-suite stakeholders and facilitate collaborations with partners
Benefits
Opportunity to work with a leading company in AI and consulting
Engaging work environment that promotes collaboration and trust
Involvement in strategic decision-making at senior levels
Professional development and growth opportunities within the organization
Ability to make a measurable impact on client success
Full Job Description
The Opportunity
We are seeking an enterprise Account Executive to drive net-new logo acquisition and scale our enterprise practice. This role requires a consultative sales leader with deep professional services experience, a technical grounding in data engineering and AI, and proven expertise navigating complex Financial Services accounts (Tier-1 banks, Capital Markets, and Regional Banks/Credit Unions).
You will partner with C-suite executives to address their top AI adoption hurdles-from establishing AI governance and compliance guardrails to executing high-ROI agentic workflow transformations across back-office operations and customer-facing platforms.
Key Responsibilities
Net-New Enterprise Prospecting: Build and execute strategic account plans to break into targeted Financial Services and enterprise institutions, mapping complex organizations to land new logos.
Consultative & Solution Selling: Guide clients through their AI maturity lifecycle. Position complex, outcome-led consulting engagements spanning AI governance, custom developer platform modernization, and agentic process automation.
Partner & Channel Co-Selling: Leverage strategic Data and AI partner ecosystems (Anthropic, Databricks, AWS, Microsoft) to generate joint pipeline and co-sell into target accounts.
C-Suite & Regulatory Navigation: Partner with client engineering, architecture, and compliance teams to address regulatory requirements, security concerns, and risk management around AI deployment.
Full Sales Cycle Ownership: Lead the complete commercial process-from strategic outreach and discovery to proposal drafting (SOWs/RFPs), negotiation, and closing multi-year transformations.
Qualifications & Requirements
Consulting Background: Proven track record selling professional, technical, or advisory services within a technology consultancy or services environment.
Financial Services Expertise: Deep familiarity selling into Financial Services (Tier-1 Investment Banks, Capital Markets, Regional Banks, or Credit Unions).
Technical Foundation: Background or strong working knowledge in Data Engineering, Software Architecture, or AI/ML solutions, enabling credible engagement with technical decision-makers (Chief Architects, VPs of Engineering).
AI & Data Solution Selling: Experience selling outcome-based, complex transformation projects-such as enterprise AI governance, agentic workflows, software development lifecycle (SDLC) automation, or call center/operations modernizations.
Channel & Partner Sales: Proven ability to co-sell alongside leading Data and AI technology partners to unlock warm intros and accelerate sales cycles.
The anticipated base salary range for this role is $180,000 - $240,000. In addition to base pay, this position may be eligible for Sales Commission Bonuses. An individual's final salary offer will be determined based on a variety of factors, including geographic location, experience, specialized skills, and qualifications. This compensation range is subject to updates or modifications at the company's discretion
